
Artificial Intelligence (AI) is surging all over, with more users leveraging it every day, including businesses. And we have some good news for Nepal as Dlyctia has announced Nepal’s first ever AI Big Data Platform known as “DataNature”. This article will discuss more about DataNature and its features in general.
DataNature Overview
About Dlytica and the Launch of DataNature
Dlytica Inc. is a multinational technology company specializing in data engineering, artificial intelligence (AI), and cloud-based analytics solutions. Founded in 2018, the company is headquartered in Toronto, Canada, with additional offices in New York, London, Ontario, and Kathmandu, Nepal.
During the launch event, Ashis Parajuli, CEO of Dlytica, emphasized the company’s mission and its global vision by saying, “Our investment in Nepal is driven by the invaluable learning and experiences we have gained from the global market. With this knowledge, we aim to uplift our innovation and take it to the global stage, helping Nepal emerge as a hub for AI excellence.”
What is DataNature?
DataNature is a technology-driven AI Big Data platform that focuses on offering advanced data management, analytics, and storage solutions. Leveraging cutting-edge tools and intelligent algorithms, DataNature aims to streamline data handling processes for both large enterprises and individual users. It provides real-time analytics, customer segmentation, personalized marketing strategies, and data-driven decision-making.
Notably, Dlytica has partnered with Ncell, Nepal’s leading telecommunications provider, which recently launched the country’s first data center and cloud service provider. This collaboration aims to leverage DataNature’s capabilities to drive growth, improve decision-making, and enhance customer experiences.
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Why is DataNature important for Nepal?
DataNature is important for Nepal because it helps enhance data management, supports digital transformation, boosts innovation, improves customer experiences, and provides industry-specific solutions. By utilizing AI and big data, it aids sectors like telecommunications, agriculture, and finance. It also contributes to skill development, job creation, and economic growth, driving the country’s advancement in technology and data-driven industries.
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